Manufacturing Quality Intern

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

Internship Program Overview:

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Summary of Role:

Our Foundry Manufacturing Quality Engineering (MQE) team provides leadership in engineering and technical support for quality and reliability issues within our fab by monitoring and auditing the quality of manufactured wafers and modules. As an intern on the Manufacturing Quality team, you will lead projects that improve the efficiency of quality business processes while helping ensure the wafers we produce meet required quality standards.

Essential Responsibilities include:

• Lead a defined process-improvement project focused on increasing the efficiency, effectiveness, or standardization of a manufacturing quality business process.

• Develop or enhance digital tools, dashboards, or automated workflows that provide engineering and manufacturing teams with clear visibility into quality actions, priorities, owners, and due dates.

• Collect and analyze quality process data to identify trends, gaps, recurring issues, and opportunities for improved performance or risk reduction.

• Partner with Manufacturing Quality, Process Engineering, Manufacturing, and other cross-functional teams to gather requirements, implement solutions, document improvements, and communicate project results and recommendations.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

• Education – At least a sophomore at time of application and actively pursuing a Bachelor’s or Master’s degree in Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Chemical Engineering, Materials Science, Data Science, Computer Science, Information Systems, or a related technical field through an accredited degree program during the time of internship.

• Must have at least an overall 3.0 GPA and be in good academic standing.

• Language Fluency - English (Written & Verbal)

• Ability to work at least 40 hours per week during the internship.

Preferred Qualifications:

• Prior related internship or co-op experience

• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.

• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.

• Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.

• Strong written and verbal communication skills

• Strong planning & organizational skills

• Experience or coursework in data analytics, process improvement, automation, dashboard development, or software/application development.

• Familiarity with tools such as Microsoft Power BI, Power Apps, Power Automate, Excel, Python, SQL, or similar data visualization and workflow-automation technologies.

#InternshipProgramUS

Expected Salary Range

$20.00 - $40.00

Expected Salary Range

$0.00 - $0.00

The exact Salary will be determined based on qualifications, experience and location.